In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Abstract: Due to the intrinsic complexity of time series forecasting within power systems, artificial intelligence has emerged as a promising pathway for predictive analytics. Although time series ...

Abstract: Accurate exchange rate prediction plays a crucial role in promoting global economic stability and growth. Exchange rates being volatile have an impact on trade balance, inflation rates and ...